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35 lines
1.5 KiB
Scala
35 lines
1.5 KiB
Scala
package com.twitter.home_mixer.store
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import com.twitter.bijection.Injection
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import com.twitter.home_mixer.store.ManhattanRealGraphKVDescriptor._
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import com.twitter.stitch.Stitch
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import com.twitter.storage.client.manhattan.bijections.Bijections
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import com.twitter.storage.client.manhattan.bijections.Bijections.BinaryScalaInjection
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import com.twitter.storage.client.manhattan.kv.ManhattanKVEndpoint
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import com.twitter.storage.client.manhattan.kv.impl.ReadOnlyKeyDescriptor
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import com.twitter.storage.client.manhattan.kv.impl.ValueDescriptor
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import com.twitter.storehaus.ReadableStore
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import com.twitter.util.Future
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import com.twitter.wtf.candidate.{thriftscala => wtf}
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object ManhattanRealGraphKVDescriptor {
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implicit val byteArray2Buf = Bijections.BytesBijection
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val realGraphDatasetName = "real_graph_scores_in"
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val keyInjection = Injection.connect[Long, Array[Byte]].andThen(Bijections.BytesInjection)
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val keyDesc = ReadOnlyKeyDescriptor(keyInjection)
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val valueDesc = ValueDescriptor(BinaryScalaInjection(wtf.CandidateSeq))
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val realGraphDatasetKey = keyDesc.withDataset(realGraphDatasetName)
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}
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/**
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* Hydrates real graph in network scores for a viewer
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*/
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class RealGraphInNetworkScoresStore(manhattanKVEndpoint: ManhattanKVEndpoint)
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extends ReadableStore[Long, Seq[wtf.Candidate]] {
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override def get(viewerId: Long): Future[Option[Seq[wtf.Candidate]]] = Stitch
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.run(manhattanKVEndpoint.get(realGraphDatasetKey.withPkey(viewerId), valueDesc))
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.map(_.map(mhResponse => mhResponse.contents.candidates))
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}
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